Triple

T1352631
Position Surface form Disambiguated ID Type / Status
Subject Brittany E28915 entity
Predicate hasTraditionalDrink P4038 FINISHED
Object cider LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: cider | Statement: [Brittany, hasTraditionalDrink, cider]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTraditionalDrink
Context triple: [Brittany, hasTraditionalDrink, cider]
  • A. traditionalDrink chosen
    Indicates that one entity is a beverage customarily consumed within the culture, heritage, or longstanding practices associated with another entity.
  • B. hasTraditionIn
    Indicates that a particular tradition, custom, or longstanding practice is present, observed, or established within a specified place, group, or context.
  • C. madeWithAlcohol
    Indicates that something is created, prepared, or produced using alcohol as an ingredient or component.
  • D. favoriteDrink
    Indicates that one entity has a preferred beverage over others.
  • E. allowsTastingOf
    Indicates that one entity permits another entity to sample or try the taste of something.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c26d0c4481908fddda89242a57b3 completed March 1, 2026, 10:49 p.m.
PD Predicate disambiguation batch_69a4bef7700c819099b294e8d9320e70 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:56 p.m.